Optimisation of train scheduling in complex railways with imprecise and ambiguous input data by an improved integrated model
by Ali Azadeh; Shahrzad Faghihroohi; Hamidreza R. Izadbakhsh
International Journal of Services and Operations Management (IJSOM), Vol. 13, No. 3, 2012

Abstract: Modelling and scheduling of cargo and passenger trains with time limitations, queue priority and limited station lines is a cumbersome task. Furthermore, when distribution of traverse times are unknown or could not be estimated, conventional simulation approach fails and the need for a more intelligent approach becomes inevitable. This paper presents an integrated fuzzy modelling and simulation approach for such ambiguous cases. The case of this study is based on a specific and actual train route (800 kilometres). To show superiority of the approach the system under study was modelled through both conventional and fuzzy simulation approach. For the purpose of verification and validation, the fuzzy interval data of fuzzy simulation model was compared with the interval data of actual system through fuzzy analysis of variance (ANOVA). Then, random data from fuzzy simulation, conventional simulation models and actual system were compared with design of experiment (DOE). Hence, ANOVA and least significant difference (LSD) method were used to show fuzzy simulation approach is an ideal and superior modelling approach for uncertain and ambiguous scheduling railroad systems such as the actual case of this study.

Online publication date: Sat, 23-Aug-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Services and Operations Management (IJSOM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com